Laboratory for Systems and Translational Brain Sciences

From neurons to cognition,
from theory to the clinic.

We build computational and theoretical models of the brain, validate them against multi-scale neuroimaging, and translate them into diagnosis and treatment of mental disorders.

  • fMRI
  • PET
  • EEG
  • DTI
  • Calcium imaging
  • VSDI
  • LFP
  • DCM
  • Free energy
  • Deep learning
Who we are

Laboratory for Systems and Translational Brain Sciences

Our lab is affiliated with the Yonsei University Graduate School of Medical Science, Department of Nuclear Medicine, Department of Psychiatry in Yonsei University College of Medicine, Severance Hospital, and Department of Cognitive Science in Yonsei University.

We are an open research team dedicated to understanding how the brain functions at various levels of the brain hierarchy—from neural cell function to cognition—and how altered brain circuits induce brain diseases. Our approach is rooted in systems brain science, computational brain science, and theoretical brain science. One of our major challenges is to bridge these different levels of understanding. Both experimental observation and computational theory are critical to our work.

As observation tools, we utilize and develop precise analyzing techniques for various brain data, such as fMRI, PET, EEG, and DTI at the macroscopic level, as well as calcium imaging, voltage-sensitive dye imaging, and local field potential at the micro and mesoscopic levels. In conjunction with these observation data, we aim to construct biologically plausible brain circuits to simulate observed brain functions.

As a team based in hospitals, we aim to translate advanced neuroimaging and computational techniques, along with cognitive neuroscience insights, to clinical settings for the diagnosis and treatment of mental health disorders.

Explore our research and join us in our quest to unravel the mysteries of the brain and improve mental health care.

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We are hiring

Postdoctoral researchers and research staff for national projects on spiking-network models of the zebrafish brain and a computational digital twin for epilepsy.

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